MAIBENBEN Business Style
Geekbench AI Score
2908
Single Precision Score
1350
Half Precision Score
4585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | November 17 2025 06:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | MAIBENBEN Business Style |
| Motherboard | MAIBENBEN B516B |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2367
440.1 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
96% |
3968
740.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
4491
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4373
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
8702
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
58% |
2704
295.4 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (Q)
|
96% |
6741
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6180
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2009
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8590
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11302
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9055
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13683
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2050
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
926
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1398
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2183
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2502
48.3 IPS |
